CARLA ? C-Shenron based Simualtor for Sensor data generation.

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Simulator/intel/scenarios

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RUSHIL AMBARISH KADU de215a27d7 feat(radar): implement sharp-focus Hann windowing and calibrated Jet RA maps Standardizes the metrology diagnostic suite for high-fidelity focus and consistent dB scaling. Core Improvements: - Signal Processing: Switched Range and Doppler FFTs to Hann windowing, reducing peak width by ~50% for sharper target focus (Iteration 27). - Visualization Style: Implemented a fixed-scale MATLAB-style Jet colormap (-5 to 45 dB). Disabled per-frame auto-scaling to preserve temporal intensity consistency and physical R^-4 decay. - Calibration: Applied a -68.0 dB System Gain Offset in post-processing (calculated via statistical analysis of raw power levels in Iter 28) to align noise floors (~7 dB) and target peaks (~41 dB). - Pipeline: Standardized these focus and calibration settings across both the testbench (test_shenron.py) and packaging pipeline (data_to_mcap.py). - Docs: Verified and restored gemini.md at the repository root as the master project context. This milestone (Iteration 29) finalizes the visual interpretability of the physics-based Shenron radar engine.		1 month ago
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braking.md	feat(intel): Reorganize documentation and stabilize radar physics baseline	2 months ago
dashboard.md	feat(intel): Reorganize documentation and stabilize radar physics baseline	2 months ago
showcase.md	feat(intel): Reorganize documentation and stabilize radar physics baseline	2 months ago